By Nagomi Security
Nagomi has been selected for Anthropic’s Cyber Verification Program, giving our team access to Mythos-class AI capabilities for defensive use. Here’s what that means and why it matters that the right platform is behind it.
When Anthropic announced Claude Mythos Preview and Project Glasswing in April, the security industry’s reaction was immediate: this changes the math. A model capable of finding thousands of high-severity vulnerabilities across major operating systems and browsers in weeks does not just accelerate defense. It gives adversaries an exploit factory that operates at machine speed, with nearly zero marginal cost per attack.
The window between disclosure and weaponization has not narrowed. For practical purposes, it has collapsed.
Nagomi Security has been selected for Anthropic’s Cyber Verification Program (CVP). We now have verified access to Mythos-like AI capabilities, scoped to defensive use and governed by Anthropic’s security and responsible-use requirements.
We take the selection seriously because it raises a question every security team should ask right now: not whether you have access to Mythos-level intelligence, but whether your platform knows what to do with it.
The Exposure Problem Is Not a Vulnerability Problem
Much of the public conversation around Mythos has centered on vulnerability discovery. That’s the right place to start. Mythos-class models find CVEs at a volume no human team can match.
But discovery is rapidly becoming a solved problem.
The challenge for security teams is no longer finding more issues. The challenge is understanding which issues actually matter.
The reason is scope. A vulnerability is only one type of exposure. Misconfigurations are another. An out-of-date or misconfigured EDR does not need a CVE to make an organization breachable. Coverage gaps in security controls, stale identities, and shifts in threat intelligence all create real exposure that does not appear in a vulnerability scanner.
Faster CVE triage addresses only part of the problem.
Nagomi was built around a broader definition of exposure. Our Agentic ExposureOps Platform treats vulnerabilities, misconfigurations, coverage gaps, identity risks, and threat intelligence changes as distinct exposure types. It correlates those signals to surface the toxic combinations that represent material risk.
A misconfigured endpoint detection tool that sits on a critical identity path in an environment with an unpatched privilege escalation flaw is not three separate findings. It is one exposure chain, and it demands one coordinated response.
In practice, that means reducing 80,000 raw findings to 996 validated, prioritized exposures.
Finding those relationships is only the beginning.
Security teams still need to determine whether existing controls reduce the risk, establish ownership, prioritize remediation, and verify that fixes hold after implementation. Many AI-assisted approaches still leave those tasks to analysts.
Nagomi’s agents execute that work autonomously. They investigate changes across the environment, validate findings against actual asset inventory and control state, identify the exposure chains that require action, and drive remediation with clear ownership.
By the time a finding reaches an analyst, it has already been investigated, validated, and prioritized. The analyst’s job is to decide, not to dig.
Access to advanced defensive AI capabilities is valuable. Access to those capabilities through a platform that can understand exposure, validate risk, and coordinate response is what shortens the exposure window.
The Full Picture: CAASM and ASCA Aren’t Enough
The Mythos era raises the stakes because discovery is no longer the primary constraint.
Security teams now need to understand:
- Which exposures are real
- Which controls already mitigate them
- Where genuine gaps exist
- Which remediation path makes sense across devices, identities, configurations, controls, and threat context
Nagomi’s Agentic Exposure Ops Platform connects to deployed security tools and unifies vulnerabilities, controls, assets, identities, and threat intelligence into a single operational view.
AI agents:
- Investigate every material change
- Validate exposure chains against actual control state
- Drive remediation with clear ownership
- Verify that fixes continue to hold as environments evolve
The result is not more findings. It is fewer, higher-confidence exposures that teams can act on.
What This Means for Our Customers
Participation in the CVP strengthens the intelligence pipeline that feeds Nagomi’s analysis. Customers gain earlier and higher-fidelity signals on emerging findings, allowing teams to assess and prioritize exposure before it becomes active risk.
The organizations we help protect do not have the luxury of a slow response. Attack surfaces are large. Environments are complex. The time between disclosure and exploitation is increasingly measured in hours, not days or weeks.
The combination of Mythos-class intelligence and Nagomi’s Agentic Exposure Ops Platform represents what credible defense looks like in this environment.
Nagomi is the only exposure operations platform that covers all validated exposure types: vulnerabilities, misconfigurations, coverage gaps, identities, and threat intelligence in a single correlated view.
That is not an incremental advantage. It is a fundamentally different signal-to-noise ratio.
When the threat model includes systems capable of turning newly discovered vulnerabilities into working exploits at machine speed, comprehensive, agentic exposure management becomes a requirement, not an optimization.
We are proud to be part of Anthropic’s Cyber Verification Program.
And we are ready to put it to work.
Want to see how Nagomi’s Agentic Exposure Ops Platform handles your environment? Request a demo..
See Nagomi in action at nagomisecurity.com
